Hyperlipidemia is characterized by elevated levels of blood lipids. The clinical manifestations are mainly atherosclerosis caused by the deposition of lipids in the vascular endothelium. The link between abnormal lipid metabolism and sudden hearing loss remains unclear. This article presents a case study of sudden hearing loss accompanied by familial hyperlipidemia. Pure tone audiometry indicated intermediate frequency hearing loss in one ear. Laboratory tests showed abnormal lipid metabolism, and genetic examination identified a heterozygous mutation in theAPOA5 gene. Diagnosis: Sudden hearing loss; hypercholesterolemia. The patient responded well to pharmacological treatment. This paper aims to analyze and discuss thepotential connection between abnormal lipid metabolism and sudden hearing loss.
Humans ; Audiometry, Pure-Tone ; Deafness/complications* ; Hearing Loss, Sensorineural/diagnosis* ; Hearing Loss, Sudden/diagnosis* ; Hyperlipidemias/complications* ; Lipids

Objective: To investigate the associations between neutrophil-to-lymphocyte ratio (NLR) and estimated glomerular filtration rate (eGFR) in patients with primary aldosteronism (PA). Methods: This study was a cross-sectional study. Consecutive patients diagnosed with PA and admitted to the Second Affiliated Hospital of Nanchang University from October 2017 to April 2022 were enrolled. General information, blood routine, renal function, and other clinical data of the patients were collected. Based on the median NLR of the enrolled patients, NLR-1·1.73 m^-2. Multiple linear regression and multivariate logistic regression models, smooth curve fitting and threshold effect exploration were used to analyze the relationship between NLR and eGFR in PA patients, and stratified analysis and interaction tests were used to evaluate potential variables that may affect the correlation between NLR and eGFR. Results: This study finally included 743 PA patients, aged (50.3±10.4) years, 42.9% (319/743) were female, and the median NLR was 2.3. After adjusting for sex, age, body mass index (BMI) and other factors, multiple linear regression analysis showed that high NLR was negatively correlated with eGFR (β=-4.9, P=0.008), and multivariate logistic regression analysis showed that high NLR was associated with low eGFR (OR=3.1, P=0.002). In the corrected smooth curve, NLR is U-shaped correlation with eGFR, and the inflection point is at NLR=3.5. When the NLR was<3.5, the eGFR decreased with the increase of NLR (corrected β=-4.7, P<0.001); When the NLR was≥3.5, the eGFR increased with the increase of NLR (corrected β=5.8, P=0.031). The results of stratified analysis showed that there was an interaction between the association of NLR and eGFR with the presence or absence of hyperlipidemia (P interaction=0.017), and the correlation between NLR and eGFR was stronger in PA patients with hyperlipidemia. Conclusion: In the PA patients, there is a U-shaped relationship between NLR and eGFR, and higher NLR is associated with lower eGFR. PA patients with elevated NLR should undergo additional screening for chronic kidney disease and receive related preventive interventions.
Humans ; Female ; Male ; Neutrophils ; Glomerular Filtration Rate ; Cross-Sectional Studies ; Lymphocytes ; Hyperaldosteronism/diagnosis* ; Hyperlipidemias

OBJECTIVE: To analyze the clinical features of overweight and obese rheumatoid arthritis (RA)patients, and the relationship between body mass index (BMI) and disease characteristics. METHODS: The demographic data, extra-articular manifestations, comorbidities, and disease activity of RA patients admitted to the Rheumatology and Immunology Department of Peking University Third Hospital from January 2015 to December 2020 were collected, and the above characteristics of overweight and obese RA patients were retrospectively analyzed. According to the WHO, BMI≥30 kg/m² referred to obese individuals, 25≤BMI < 30 kg/m² referred to overweight individuals, 18.5≤BMI < 25 kg/m² referred to normal individuals, BMI < 18.5 kg/m² referred to reduced body mass individuals. t test was used for the quantitative data in accordance with normal distribution. Wilcoxon rank sum test was used for the quantitative data of non-normal distribution. The qualitative data were analyzed by chi square test. But while 1≤theoretical frequency < 5, Chi square test of corrected four grid table was used. And Fisher exact probability method was used when theoretical frequency < 1. Analyzing whether overweight or obesity was associated with comorbidities using Logistic regression adjusted confounding factors. RESULTS: A total of 481 RA patients were included in this study, with an average BMI value of (23.28±3.75) kg/m².Of the patients, 31 cases (6.5%) were with BMI < 18.5 kg/m², 309 cases (64.2%) with 18.5≤ BMI < 25 kg/m², amounting to 340 cases (70.7%). There were 119 overweight individuals (25≤ BMI < 30 kg/m², 24.7%) and 22 obese individuals (BMI≥30 kg/m², 4.6%), totaling 141 (29.3%).The proportion of the overweight and obese RA patients suffering from hypertension (57.4% vs. 39.1%, P < 0.001), diabetes (25.5% vs. 15.0%, P=0.006), hyperlipidemia (22.7% vs. 10.9%, P=0.001), fatty liver (28.4% vs. 7.4%, P < 0.001), osteoarthritis (39.0% vs. 29.4%, P=0.040) was significantly higher, and the proportion of the patients with osteoporosis(59.6% vs. 70.9%, P=0.016) and anemia (36.2% vs. 55.6%, P < 0.001) was significantly lower. However, there was no difference between the two groups in coronary heart disease (5.7% vs. 7.6%, P=0.442), cerebrovascular disease (6.4% vs. 8.8%, P=0.372) and peripheral atherosclerosis (9.2% vs. 7.6%, P=0.565).The median C-reactive protein (CRP, 1.52 mg/dL vs. 2.35 mg/dL, P=0.008), median erythrocyte sedimentation rate (ESR, 34.0 mm/h vs. 50.0 mm/h, P=0.003), pain visual simulation score (VAS) (3.66±3.08 vs. 4.40±2.85, P=0.011), and 28 joint disease activity scores (DAS-28, 5.05±1.60 vs. 5.45±1.52, P=0.010) in the overweight and obese RA group were all lower than those in the normal and reduced weight groups. Multivariate regression analysis showed that overweight and obesity was an independent risk factor for hypertension, diabetes, hyperlipidemia and fatty liver, and had protective effects on osteoporosis and anemia. CONCLUSION In RA patients, RA disease activity is lower in overweight and obesity patients. Overweight and obesity is associated with hypertension, diabetes and hyperlipidemia, but not with cardiovascular and cerebrovascular diseases.
Humans ; Body Mass Index ; Overweight/epidemiology* ; Retrospective Studies ; Arthritis, Rheumatoid/epidemiology* ; Obesity/epidemiology* ; Diabetes Mellitus ; Hypertension/complications* ; Fatty Liver/complications* ; Hyperlipidemias/complications* ; Osteoporosis/complications* ; Anemia

Atherosclerosis(AS) is caused by impaired lipid metabolism, which deposits lipids in the intima, causes vascular fibrosis and calcification, and then leads to stiffening of the vascular wall. Hyperlipidemia(HLP) is one of the key risk factors for AS. Based on the theory of "nutrients return to the heart and fat accumulates in the channels", it is believed that the excess fat returning to the heart in the vessels is the key pathogenic factor of AS. The accumulation of fat in the vessels over time and the blood stasis are the pathological mechanisms leading to the development of HLP and AS, and "turbid phlegm and fat" and "blood stasis" are the pathological products of the progression of HLP into AS. Didang Decoction(DDD) is a potent prescription effective in activating blood circulation, removing blood stasis, resolving turbidity, lowering lipids, and dredging blood vessels, with the functions of dispelling stasis to promote regeneration, which has certain effects in the treatment of atherosclerotic diseases. This study employed high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(HPLC-Q-TOF-MS/MS) to screen the main blood components of DDD, explored the targets and mechanisms of DDD against AS and HLP with network pharmacology, and verified the network pharmacological results by in vitro experiments. A total of 231 blood components of DDD were obtained, including 157 compounds with a composite score >60. There were 903 predicted targets obtained from SwissTargetPrediction and 279 disease targets from GeneCards, OMIM, and DisGeNET, and 79 potential target genes of DDD against AS and HLP were obtained by intersection. Gene Ontology(GO) analysis suggested that DDD presumably exerted regulation through biological processes such as cholesterol metabolism and inflammatory response, and Kyoto Encyclopedia of Genes and Genomes(KEGG) analysis suggested that signaling pathways included lipid and atherosclerosis, insulin resistance, chemo-carcinogenesis-receptor activation, and AGE-RAGE signaling pathways in diabetic complications. In vitro experiments showed that DDD could reduce free fatty acid-induced lipid accumulation and cholesterol ester content in L02 cells and improve cellular activity, which might be related to the up-regulation of the expression of PPARα, LPL, PPARG, VEGFA, CETP, CYP1A1, and CYP3A4, and the down-regulation of the expression of TNF-α and IL-6. DDD may play a role in preventing and treating AS and HLP by improving lipid metabolism and inflammatory response, and inhibiting apoptosis with multi-component, multi-target, and multi-pathway characteristics.
Humans ; Hyperlipidemias/drug therapy* ; Tandem Mass Spectrometry ; Chromatography, High Pressure Liquid ; Network Pharmacology ; Nutrients ; Atherosclerosis/prevention & control* ; Lipids ; Drugs, Chinese Herbal/pharmacology* ; Molecular Docking Simulation

Objective: To describe the distribution characteristics of hyperlipidemia in adult twins in the Chinese National Twin Registry (CNTR) and explore the effect of genetic and environmental factors on hyperlipidemia. Methods: Twins recruited from the CNTR in 11 project areas across China were included in the study. A total of 69 130 (34 565 pairs) of adult twins with complete information on hyperlipidemia were selected for analysis. The random effect model was used to characterize the population and regional distribution of hyperlipidemia among twins. The concordance rates of hyperlipidemia were calculated in monozygotic twins (MZ) and dizygotic twins (DZ), respectively, to estimate the heritability. Results: The age of all participants was (34.2±12.4) years. This study's prevalence of hyperlipidemia was 1.3% (895/69 130). Twin pairs who were men, older, living in urban areas, married,had junior college degree or above, overweight, obese, insufficient physical activity, current smokers, ex-smokers, current drinkers, and ex-drinkers had a higher prevalence of hyperlipidemia (P<0.05). In within-pair analysis, the concordance rate of hyperlipidemia was 29.1% (118/405) in MZ and 18.1% (57/315) in DZ, and the difference was statistically significant (P<0.05). Stratified by gender, age, and region, the concordance rate of hyperlipidemia in MZ was still higher than that in DZ. Further, in within-same-sex twin pair analyses, the heritability of hyperlipidemia was 13.04% (95%CI: 2.61%-23.47%) in the northern group and 18.59% (95%CI: 4.43%-32.74%) in the female group, respectively. Conclusions: Adult twins were included in this study and were found to have a lower prevalence of hyperlipidemia than in the general population study, with population and regional differences. Genetic factors influence hyperlipidemia, but the genetic effect may vary with gender and area.
Adult ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; China/epidemiology* ; Diseases in Twins/genetics* ; Hyperlipidemias/genetics* ; Metabolic Diseases ; Twins, Dizygotic ; Twins, Monozygotic/genetics*

Humans ; Diabetes Mellitus, Type 2/genetics* ; Hyperlipidemias ; Mutation ; Insulin Resistance/genetics* ; Metabolic Diseases ; Proto-Oncogene Proteins c-akt ; Perilipin-1/genetics*

On the basis of establishing the prescription of Xinjianqu and clarifying the increase of the lipid-lowering active ingredients of Xinjianqu by fermentation, this paper further compared the differences in the lipid-lowering effects of Xinjianqu before and after fermentation, and studied the mechanism of Xinjianqu in the treatment of hyperlipidemia. Seventy SD rats were randomly divided into seven groups, including normal group, model group, positive drug simvastatin group(0.02 g·kg~(-1)), and low-dose and high-dose Xinjianqu groups before and after fermentation(1.6 g·kg~(-1) and 8 g·kg~(-1)), with ten rats in each group. Rats in each group were given high-fat diet continuously for six weeks to establish the model of hyperlipidemia(HLP). After successful modeling, the rats were given high-fat diet and gavaged by the corresponding drugs for six weeks, once a day, to compare the effects of Xinjianqu on the body mass, liver coefficient, and small intestine propulsion rate of rats with HLP before and after fermentation. The effects of Xinjianqu before and after fermentation on total cholesterol(TC), triacylglyceride(TG), high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol(LDL-C), alanine aminotransferase(ALT), aspartate aminotransferase(AST), blood urea nitrogen(BUN), creatinine(Cr), motilin(MTL), gastrin(GAS), and the Na~+-K~+-ATPase levels were determined by enzyme-linked immunosorbent assay(ELISA). The effects of Xinjianqu on liver morphology of rats with HLP were investigated by hematoxylin-eosin(HE) staining and oil red O fat staining. The effects of Xinjianqu on the protein expression of adenosine 5'-monophosphate(AMP)-activated protein kinase(AMPK), phosphorylated AMPK(p-AMPK), liver kinase B1(LKB1), and 3-hydroxy-3-methylglutarate monoacyl coenzyme A reductase(HMGCR) in liver tissues were investigated by immunohistochemistry. The effects of Xinjianqu on the regulation of intestinal flora structure of rats with HLP were studied based on 16S rDNA high-throughput sequencing technology. The results showed that compared with those in the normal group, rats in the model group had significantly higher body mass and liver coefficient(P<0.01), significantly lower small intestine propulsion rate(P<0.01), significantly higher serum levels of TC, TG, LDL-C, ALT, AST, BUN, Cr, and AQP2(P<0.01), and significantly lower serum levels of HDL-C, MTL, GAS, Na~+-K~+-ATP levels(P<0.01). The protein expression of AMPK, p-AMPK, and LKB1 in the livers of rats in the model group was significantly decreased(P<0.01), and that of HMGCR was significantly increased(P<0.01). In addition, the observed＿otus, Shannon, and Chao1 indices were significantly decreased(P<0.05 or P<0.01) in rat fecal flora in the model group. Besides, in the model group, the relative abundance of Firmicutes was reduced, while that of Verrucomicrobia and Proteobacteria was increased, and the relative abundance of beneficial genera such as Ligilactobacillus and Lachnospiraceae＿NK4A136＿group was reduced. Compared with the model group, all Xinjianqu groups regulated the body mass, liver coefficient, and small intestine index of rats with HLP(P<0.05 or P<0.01), reduced the serum levels of TC, TG, LDL-C, ALT, AST, BUN, Cr, and AQP2, increased the serum levels of HDL-C, MTL, GAS, and Na~+-K~+-ATP, improved the liver morphology, and increased the protein expression gray value of AMPK, p-AMPK, and LKB1 in the liver of rats with HLP and decreased that of LKB1. Xinjianqu groups could regulate the intestinal flora structure of rats with HLP, increased observed＿otus, Shannon, Chao1 indices, and increased the relative abundance of Firmicutes, Ligilactobacillus(genus), Lachnospiraceae＿NK4A136＿group(genus). Besides, the high-dose Xinjianqu-fermented group had significant effects on body mass, liver coefficient, small intestine propulsion rate, and serum index levels of rats with HLP(P<0.01), and the effects were better than those of Xinjianqu groups before fermentation. The above results show that Xinjianqu can improve the blood lipid level, liver and kidney function, and gastrointestinal motility of rats with HLP, and the improvement effect of Xinjianqu on hyperlipidemia is significantly enhanced by fermentation. The mechanism may be related to AMPK, p-AMPK, LKB1, and HMGCR protein in the LKB1-AMPK pathway and the regulation of intestinal flora structure.
Rats ; Animals ; AMP-Activated Protein Kinases/metabolism* ; Rats, Sprague-Dawley ; Cholesterol, LDL ; Fermentation ; Aquaporin 2/metabolism* ; Lipid Metabolism ; Liver ; Lipids ; Hyperlipidemias/genetics* ; Adenosine Triphosphate/pharmacology* ; Diet, High-Fat/adverse effects*

Through the non-targeted metabolomics study of endogenous substances in the liver and serum of hyperlipidemia rats, the biomarkers related to abnormal lipid metabolism in hyperlipidemia rats were found, and the target of ginsenoside Rb_1 in improving hyperlipidemia was explored and its mechanism was elucidated. The content of serum biochemical indexes of rats in each group was detected by the automatic biochemical analyzer. The metabolite profiles of liver tissues and serum of rats were analyzed by HPLC-MS. Principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to compare and analyze the metabolic data in the normal group, the hyperlipidemia group, and the ginsenoside Rb_1 group, and screen potential biomar-kers. The related metabolic pathways were further constructed by KEGG database analysis. The results showed that hyperlipemia induced dyslipidemia in rats, which was alleviated by ginsenoside Rb_1. The non-targeted metabolomics results showed that there were 297 differential metabolites in the liver tissues of hyperlipidemia rats, 294 differential metabolites in the serum samples, and 560 diffe-rential metabolites in the hyperlipidemia rats treated by ginsenoside Rb_1. Perillic acid and N-ornithyl-L-taurine were common metabolites in the liver and serum samples, which could be used as potential biomarkers for ginsenoside Rb_1 in the improvement of hyperlipidemia. As revealed by pathway enrichment in the liver and serum, ginsenoside Rb_1 could participate in the metabolic pathway of choline in both the liver and serum. In addition, ginsenoside Rb_1 also participated in the ABC transporter, alanine, aspartic acid, and glutamate metabolism, protein digestion and absorption, β-alanine metabolism, taurine and hypotaurine metabolism, caffeine metabolism, valine, leucine, and isoleucine biosynthesis, arachidonic acid metabolism, and methionine and cysteine metabolism to improve dyslipidemia in rats.
Rats ; Animals ; Hyperlipidemias/drug therapy* ; Metabolome ; Ginsenosides/metabolism* ; Lipid Metabolism ; Metabolomics/methods* ; Liver/metabolism* ; Biomarkers ; Taurine

Objective: To investigate the associations between neutrophil-to-lymphocyte ratio (NLR) and estimated glomerular filtration rate (eGFR) in patients with primary aldosteronism (PA). Methods: This study was a cross-sectional study. Consecutive patients diagnosed with PA and admitted to the Second Affiliated Hospital of Nanchang University from October 2017 to April 2022 were enrolled. General information, blood routine, renal function, and other clinical data of the patients were collected. Based on the median NLR of the enrolled patients, NLR-1·1.73 m^-2. Multiple linear regression and multivariate logistic regression models, smooth curve fitting and threshold effect exploration were used to analyze the relationship between NLR and eGFR in PA patients, and stratified analysis and interaction tests were used to evaluate potential variables that may affect the correlation between NLR and eGFR. Results: This study finally included 743 PA patients, aged (50.3±10.4) years, 42.9% (319/743) were female, and the median NLR was 2.3. After adjusting for sex, age, body mass index (BMI) and other factors, multiple linear regression analysis showed that high NLR was negatively correlated with eGFR (β=-4.9, P=0.008), and multivariate logistic regression analysis showed that high NLR was associated with low eGFR (OR=3.1, P=0.002). In the corrected smooth curve, NLR is U-shaped correlation with eGFR, and the inflection point is at NLR=3.5. When the NLR was<3.5, the eGFR decreased with the increase of NLR (corrected β=-4.7, P<0.001); When the NLR was≥3.5, the eGFR increased with the increase of NLR (corrected β=5.8, P=0.031). The results of stratified analysis showed that there was an interaction between the association of NLR and eGFR with the presence or absence of hyperlipidemia (P interaction=0.017), and the correlation between NLR and eGFR was stronger in PA patients with hyperlipidemia. Conclusion: In the PA patients, there is a U-shaped relationship between NLR and eGFR, and higher NLR is associated with lower eGFR. PA patients with elevated NLR should undergo additional screening for chronic kidney disease and receive related preventive interventions.
Humans ; Female ; Male ; Neutrophils ; Glomerular Filtration Rate ; Cross-Sectional Studies ; Lymphocytes ; Hyperaldosteronism/diagnosis* ; Hyperlipidemias

Antibodies, Monoclonal, Humanized/therapeutic use* ; Humans ; Hyperlipidemias ; Hypertriglyceridemia/drug therapy* ; Proprotein Convertases ; Subtilisins